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ICNC
2005
Springer
14 years 27 days ago
On Evolutionary Optimization of Large Problems Using Small Populations
Abstract. Small populations are very desirable for reducing the required computational resources in evolutionary optimization of complex real-world problems. Unfortunately, the sea...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
ISCAS
2008
IEEE
191views Hardware» more  ISCAS 2008»
14 years 1 months ago
A novel approach for K-best MIMO detection and its VLSI implementation
— Since the complexity of MIMO detection algorithms is exponential, the K–best algorithm is often chosen for efficient VLSI implementation. This detection problem is often view...
Sudip Mondal, Khaled N. Salama, Wersame H. Ali
IJCAI
1993
13 years 8 months ago
Genetic State-Space Search for Constrained Optimization Problems
This paper introduces GSSS (Genetic State-Space Search). The integration of two general search paradigms — genetic search and state-space-search provides a general framework whi...
Jan Paredis
IRREGULAR
1995
Springer
13 years 11 months ago
Parallel Search for Combinatorial Optimization: Genetic Algorithms, Simulated Annealing, Tabu Search and GRASP
In this paper, we review parallel search techniques for approximating the global optimal solution of combinatorial optimization problems. Recent developments on parallel implementa...
Panos M. Pardalos, Leonidas S. Pitsoulis, Thelma D...
IUI
2009
ACM
14 years 4 months ago
Searching large indexes on tiny devices: optimizing binary search with character pinning
The small physical size of mobile devices imposes dramatic restrictions on the user interface (UI). With the ever increasing capacity of these devices as well as access to large o...
Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson...